Shape recognition is important for image retrieval. The selection of shape features and recognition model would directly affect the effectiveness of shape recognition. In the paper, seven invariant moments, circularity degree, rectangle degree, sphericity degree, concavity degree and flat degree are selected as description features. With the shape features, image shape is recognized with BP neural network. Evaluation is performed over a manual dataset. Experimental result show that the method is a preferred strategy to recognize image shape. © 2012 Springer-Verlag GmbH.
CITATION STYLE
Lu, W. (2012). Method for image shape recognition with neural network. In Advances in Intelligent and Soft Computing (Vol. 169 AISC, pp. 547–551). https://doi.org/10.1007/978-3-642-30223-7_86
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